HIGH-RESOLUTION WIND CLIMATOLOGY FOR SLOVENIA: A SPATIO-TEMPORAL VERIFICATION

An NWP model AI.AD1N is applied for dynamical downscaling of ERA40. The purpose is to deduce the wind climatology of Slovenia at horizontal scales around ten kilometers and finer. Verification against MAP-SOP reanalyses indicates that the downscaling has been successful. However, MAP-SOP reanalysis data produce wind roses closer to the observations and contain more energy in the subdiurnal range. On the other hand, a 10-km ALADIN overestimates the amount of energy in longer than diurnal periods

DOWNSCALING OF ERA40 FOR THE WIND FIELD IN A COMPLEX TERRAIN

This study deals with the optima] strategy for setting up the ALADIN model for the purpose of dynamic downscaling of ERA40 over the Alpine region. The mesoscale model wind field is compared with MAP-SOP reanalysis data and with wind observations at eleven Slovenian stations. As expected, there is an improvement in the conventional statistics at a 10-km grid as compared to the 40-km analyses. However, the differences between the mesoscale model scores at various domains can be greater than the difference between the MAP-SOP reanalyses and a particular mesoscale simulation

Land surface albedo from MSG/SEVIRI: retrieval method, validation, and application for weather forecast

The European Meteorological Satellite Organization (EUMETSAT) maintains a number of decentralized processing centers dedicated to different scientific themes. The Portuguese Meteorological Institute hosts the Satellite Application Facility on Land Surface Analysis (LSA-SAF). The primary objective of the LSA-SAF is to provide added-value products for the meteorological and environmental science communities with main applications in the fields of climate modeling, environmental management, natural hazards management, and climate change detection. Since 2005 data from Meteosat Second Generation satellite are routinely processed in near real time by the LSA-SAF operational system in Lisbon. Presently, the delivered operational products comprise land surface albedo and temperature, shortwave and long-wave downwelling radiation fluxes, vegetation parameters and snow cover. After more than ten years (1999-2010) of research, development, and progressive operational activities, a summary of the surface albedo product characteristics and performances is presented. The relevance of LSA-SAF albedo product is analyzed through a weather forecast model (ALADIN) in order to account for the inter-annual spatial and temporal variability. Results clearly show a positive impact on the 12-hour forecast of 2m temperatures